Assistant Director of Research and Evaluation

About the role

The Assistant Director of Research will support The Learning Engineering Institutes’ strategic goals by spearheading institute research activities, leading a team of researchers, and driving the development and implementation of impactful research initiatives. This role is instrumental in advancing rigorous research, evidence-based practices, contributing to educational innovation, and inclusive excellence within LEI.

Responsibilities

• Assist in developing and executing research strategies to support LEl's objectives.
• Collaborate with researchers, ASU faculty, and external partners to design and conduct research projects.
• Guide the creation of assessment tools, rubrics, surveys, and data collection instruments.
• Work with instructional designers to align assessment methodologies with learning objectives.
• Oversee data collection, management, and analysis for research and evaluation purposes.
• Utilize quantitative and qualitative methods to analyze data and generate insights to support student success.
• Prepare and present research findings and assessment results to LEI leadership, faculty, stakeholders, and the broader research community.
• Contribute to academic publications, conferences, and professional networks to share knowledge and research outcomes.
• Build and maintain relationships with ASU faculty, partners across the institution, and external partners.
• Provide consultation on research design, data analysis, and evaluation practices.
• Manage and mentor a team of research scientists and postdoctoral scholars, guiding their work to advance institute projects and support their professional growth and success.
• Serve as a resource and advocate for early-career researchers, helping them navigate challenges and achieve their goals in alignment with LEl's mission.

Requirements

• Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field including two (2) years managerial experience; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

Qualifications

• Doctoral Degree in education, learning sciences, psychology, cognitive science, quantitative psychology, educational psychology, human systems engineering, or a related field.
• Ten (10) years of research or evaluation experience in educational or related fields, with at least five (5) years in a supervisory capacity.
• Demonstrated experience in securing research grant funding and executing large scale research projects with interdisciplinary collaborators.
• Strong analytical skills with experience in statistical software (e.g., R, Python, SPSS).
• Expertise in application of the learning engineering process.
• Strong understanding of learning sciences and assessment of educational outcomes.
• Experience in technology-enhanced learning, AI for Education, large-scale data mining, or a related domain.
• Knowledge of learning analytics, data mining, and educational assessment frameworks.
• Experience with assessment of learning outcomes and evaluation of learning activities and environments in higher education.

Skills

• Strong communication and interpersonal skills.
• Ability to manage multiple projects simultaneously and adapt to changing priorities.
• Expertise in statistical and qualitative data analysis.
• Strong project management and organizational skills.
• Ability to work effectively in a team environment.

Benefits

Not specified.

Pay

$85,000 - $90,000 per year; DOE

Schedule

Monday- Friday 8:30 AM - 5:00 PM